
import pandas as pd 
import plotly.express as px 
import plotly.io as pio
pio.renderers.default = "plotly_mimetype+notebook"

from inmetpy.inmet_stations import InmetStation


inmet = InmetStation()

stations = inmet.stations


stations.LATITUDE = stations.LATITUDE.astype(float)
stations.LONGITUDE = stations.LONGITUDE.astype(float)


fig = px.scatter_mapbox(stations, lat="LATITUDE", lon="LONGITUDE", hover_name="STATION_NAME", hover_data=["TP_STATION", "CD_SITUATION"],
                        color = "CD_SITUATION", zoom=3, height=300)
fig.update_layout(mapbox_style="open-street-map")
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.update_layout(height=600, width=500)
fig.show()


import folium


m = folium.Map(location=[45.5236, -122.6750])


from ipyleaflet import Map, LegendControl

m = Map(center=(-10,-45), zoom=4)

legend = LegendControl({"low":"#FAA", "medium":"#A55", "High":"#500"}, name="Legend", position="bottomright")
m.add_control(legend)

m

Map(bottom=2424.4003852599026, center=[-15.318127808439813, -31.88033788983969], controls=(ZoomControl(options…


from bokeh.plotting import figure, output_file, show


p = figure(width=400, height=400)

# add a circle renderer with a size, color, and alpha
p.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], size=20, color="navy", alpha=0.5)

# show the results
p

Getting Started with Inmetpy¶